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Power Systems Computation conference (PSCC)

作者： Michel Schanen François Gilbert Cosmin G. Petra Mihai Anitescu Mathematics and Computer Science Division Argonne National Laboratory Argonne IL USA Lawrence Livermore National Laboratory Center for Applied Scientific Computing Livermore CA USA

This work presents a scaling study of a parallel nonlinear, nonconvex optimization approach applied to a multiperiod contingency constrained alternating current optimal power flow. We propose a “variable duplication” model for efficient parallelization of the numerical optimization on massively parallel HPC hardware. The model is expressed as a two-stage nonlinear programming problem, where the first stage captures time-dependent constraints and the second stage reflects the system changes in response to contingencies. The parallel interior-point optimization solver for nonlinear programming (PIPS-NLP) enables us to leverage the dual-block angular structure specific to the formulation by applying the Schur complement for efficient parallelization of the linear solves. The Julia modelling package StructJuMP, allows us to compactly and conveniently express the model's algebraic components. StructJuMP uses automatic differentiation to provide the first-and second-order derivatives to PIPS-NLP. Aiming at a strategy for computations at petascale, numerical experiments conducted on Theta, an Intel KNL-based system at the Argonne Leadership Computing Facility are presented.

关键词： Optimization Computational modeling Mathematical model Computer architecture Numerical models Reactive power Linear systems

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Continuous Automatic Speech Recognition System Using MapReduce Framework 7

Continuous Automatic Speech Recognition System Using MapRedu...

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7th IEEE International Advanced Computing conference, IACC 2017

作者： Vikram, M. Sudhakar Reddy, N. Madhavi, K. SV College of Engineering India JNTUA College of Engineering India

ISBN: (纸本)9781509015603

Now-A-days, Speech Recognition had become a prominent and challenging research domain because of its vast usage. The factors affecting Speech Recognition are Vocalization, Pitch, Tone, Noise, Pronunciation, Frequency, finding where the phoneme starts and stops, Loudness, Speed, Accent and so on. Research is going on to enhance the efficacy of Speech Recognition. Speech Recognition requires efficient models, algorithms and programming frameworks to analyze large amount of real-Time data. These algorithms and programming paradigms have to learn knowledge on their own to fit in to the model for massively evolving data in real-Time. The developments in parallel computing platforms opens four major possibilities for Speech Recognition systems: improving recognition accuracy, increasing recognition throughput, reducing recognition latency and reducing the recognition training period. © 2017 IEEE.

关键词： Hidden Markov models

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AErlang: Empowering Erlang with Attribute-Based Communication 19th

AErlang: Empowering Erlang with Attribute-Based Communicatio...

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19th IFIP WG 6.1 International conference on Coordination models and Languages (COORDINATION) Held as Part of the 12th International Federated conference on Distributed Computing Techniques (DisCoTec)

作者： De Nicola, Rocco Duong, Tan Inverso, Omar Trubiani, Catia IMT Inst Adv Studies Lucca Lucca Italy Gran Sasso Sci Inst Laquila Italy

ISBN: (纸本)9783319597461;9783319597454

Attribute-based communication provides a novel mechanism to dynamically select groups of communicating entities by relying on predicates over their exposed attributes. In this paper, we embed the basic primitives for attribute-based communication into the functional concurrent language Erlang to obtain what we call AErlang, for attribute Erlang. To evaluate our prototype in terms of performance overhead and scalability we consider solutions of the Stable Marriage Problem based on predicates over attributes and on the classical preference lists, and use them to compare the runtime performance of AErlang with those of Erlang and X10. The outcome of the comparison shows that the overhead introduced by the new communication primitives is acceptable, and our prototype can compete performance-wise with an ad-hoc parallel solution in X10.

关键词： Attribute-based communication Erlang Concurrency Distributed programming Collective adaptive systems Stable marriage

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parallel Python for Agent-Based Modeling at a Global Scale 2017

Parallel Python for Agent-Based Modeling at a Global Scale

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International conference of The-Computational-Social-Science-Society-of the-Americas (CSS)

作者： Blandin, Nicole Colglazier, Carl O'Hare, John Brenner, Paul St Marys Coll Moraga CA 94575 USA North Carolina State Univ Raleigh NC USA Univ Notre Dame Notre Dame IN 46556 USA

ISBN: (纸本)9781450352697

We introduce a global scale parallel python modeling platform alongside an example global migration model. Our goals focus on improving social scientist access to computationally robust infrastructure, which enhances a scientist's capability to model more complex macro-scale global effects or larger numbers of micro-scale agents and behaviors. We built the model based on a subset of known social and economic factors to test initial computational scalability which we have kept linear with respect to agent population. Se Jupyter simulation platform and Python programming language allow for a familiar developer and user interface via a standard internet browser with the computation performed remotely on high performance server hardware. We have successfully scaled to seven billion agents on a multi-core large memory server. Se platform has an open license and we are working to enhance modularity for support of new global scale social models.

关键词： parallel computing human migration computational social science Jupyter Python global open simulator agent-based modelling

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The High-Performance parallel Algorithms for the Numerical Solution of Boundary Value Problems 11th

The High-Performance Parallel Algorithms for the Numerical S...

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11th International Scientific conference on parallel Computational Technologies (PCT)

作者： Volokhov, Vadim Martynenko, Sergey Toktaliev, Pavel Yanovskiy, Leonid Varlamov, Dmitriy Volokhov, Alexander RAS Inst Problems Chem Phys Academician Semenov Ave 1 Chernogolovka 142432 Moscow Region Russia Cent Inst Aviat Motors Aviamotornaya 2 Moscow 111116 Russia

ISBN: (纸本)9783319670355;9783319670348

The boundary and the initial boundary value problems form the basis of numerous mathematical models. Ultimately, the discrete (linearized) boundary and the initial boundary value problems are reduced to the systems of linear algebraic equations with sparse and ill-conditioned coefficient matrix. In modern applications (such as computational fluid dynamics) the number of equations in the system can reach about 10(12) and higher. Just the numerical solution of such systems requires significant computational effort, so an actual problem of modern computational mathematics is working-out, theoretical analysis and testing of high-performance parallel algorithms. The article discusses algebraic, geometric and combined ways to formation of the parallel algorithms. In this work we presented advantages and disadvantages of each ways, the estimate of parallelism's acceleration and efficiency, the comparison of volume of computational work compared with the optimal sequential algorithm, and the results of computational experiments. The peculiarities of parallel algorithms' implementation by using of software and hardware structures for parallel programming were discussed in this work.

关键词： Initial boundary value problems parallel algorithms

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Modeling energy and performance of Phoenix++ based parallel programs 7

Modeling energy and performance of Phoenix++ based parallel ...

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7th International conference on Computer and Knowledge Engineering, ICCKE 2017

作者： Shafiei, Homa Noori, Hamid Harati, Ahad Department of Computer Engineering Ferdowsi University of Mashhad Mashhad Iran

ISBN: (纸本)9781538608043

In order to provide more processing power, computer systems manufacturers are trying to increase the performance of their products. Nowadays, multi-core processors are being used as a solution to reach more performance via thread level parallelism. MapReduce are considered as one of the most appropriate models of programming for data parallelism. Different frameworks have been developed based on this model. Phoenix++ is one of these frameworks that has been implemented for shared memory systems. Since computing is becoming more and more important in people's life, more and more energy spent computation. Energy is also becoming as big challenge in human life. Therefore doing energy efficient computation is becoming very important. For a long time, performance was considered as the most important metric for computing systems. However energy consumption has become as important as performance these days. We offer models in this paper to determine a system configuration for parallel programs based on Phoenix++ framework in way to minimize energy delay product (EDP) by selecting proper number of active cores, the number of threads, and working frequency level. The model accuracy is evaluated by running experiments on a real system. © 2017 IEEE.

关键词： MapReduce

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A Component Based Graphical parallel programming Approach for Numerical Simulation Development 2

A Component Based Graphical Parallel Programming Approach fo...

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2nd IEEE International conference on High Performance and Smart Computing (IEEE HPSC)

作者： Liao Li Mo Zeyao Zhang Aiqing Inst Appl Phys & Computat Math CAEP Software Ctr High Performance Numer Simulat High Performance Comp Ctr Beijing Peoples R China

ISBN: (纸本)9781509024032

Building massively parallel numerical simulations is not easy due to lasting changes of parallel programming models and various software technologies needed. We develop a component based graphical parallel programming approach to lower the difficulties of coding applications in scientific and engineering computing and support rapid development of large scale simulations basing on a domain specific framework. parallel applications can be constructed simply by configuring components and assembling them in predefined flowcharts interactively. Large part of codes is auto generated from the graphical configuration for an application. The approach facilitates the rapid design and development of parallel numerical simulations by shielding many knowledge and technologies required from domain experts. Real applications demonstrate that the approach for developing complex numerical is both practical and efficient.

关键词： scientific computing domain-specific framework component-based programming parallel application GUI

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preCICE - A fully parallel library for multi-physics surface coupling

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COMPUTERS & FLUIDS 2016年 141卷 250-258页

作者： Bungartz, Hans Joachim Lindner, Florian Gatzhammer, Bernhard Mehl, Miriam Scheufele, Klaudius Shukaev, Alexander Uekermann, Benjamin Tech Univ Munich Dept Comp Sci Boltzmannstr 3 Garching Germany Univ Stuttgart Inst Parallel & Distributed Syst Univ Str 38 Stuttgart Germany

In the emerging field of multi-physics simulations, we often face the challenge to establish new connections between physical fields, to add additional aspects to existing models, or to exchange a solver for one of the involved physical fields. If in such cases a fast prototyping of a coupled simulation environment is required, a partitioned setup using existing codes for each physical field is the optimal choice. As accurate models require also accurate numerics, multi-physics simulations typically use very high grid resolutions and, accordingly, are run on massively parallel computers. Here, we face the challenge to combine flexibility with parallel scalability and hardware efficiency. In this paper, we present the coupling tool preCICE which offers the complete coupling functionality required for a fast development of a multi-physics environment using existing, possibly black-box solvers. We hereby restrict ourselves to bidirectional surface coupling which is too expensive to be done via file communication, but in contrast to volume coupling still a candidate for distributed memory parallelism between the involved solvers. The paper gives an overview of the numerical functionalities implemented in preCICE as well as the user interfaces, i.e., the application programming interface and configuration options. Our numerical examples and the list of different open-source and commercial codes that have already been used with preCICE in coupled simulations Show the high flexibility, the correctness, and the high performance and parallel scalability of coupled simulations with preCICE as the coupling unit. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Partitioned multi-physics Strong coupling Non-matching grids Inter-code communication Quasi-Newton Radial basis functions High performance computing

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GPU Delegation: Toward a Generic Approach for Developping MABS using GPU programming 15

GPU Delegation: Toward a Generic Approach for Developping MA...

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15th International conference on Autonomous Agents and Multiagent Systems (AAMAS)

作者： Hermellin, Emmanuel Michel, Fabien Univ Montpellier CNRS LIRMM 161 Rue Ada F-34095 Montpellier France

ISBN: (纸本)9781450342391

Using Multi-Agent Based Simulation (MABS), computing resources requirements often limit the extent to which a model could be experimented. As the number of agents and the size of the environment are constantly growing in these simulations, using General-Purpose Computing on Graphics Units (GPGPU) appears to be very promising as it allows to use the massively parallel architecture of the GPU (Graphics Processing Unit) to do High Performance Computing (HPC). Considering the use of GPGPU for developing MABS, the conclusions of Perumalla and Aaby's work [25] in 2008 was twofold: (1) data parallel execution capabilities of GPU can be used effectively in MABS and afford excellent speedup on models and (2) effective use of data parallel execution requires resolution of modeling and execution challenges at the cost of a decrease in modularity, ease of programmability and reusability. In this paper, we propose to study through experiments if the conclusions and issues outlined by Perumalla and Aaby are still true despite the evolution of GPGPU and MABS. To this end, we use the GPU environmental delegation principle on four models in order to compare CPU and GPU implementations. Then, we discuss and analyze the results from both a conceptual and a performance point of view.

关键词： MABS GPGPU CUDA Hybrid architecture

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massively parallel Feature Extraction Framework Application in Predicting Dangerous Seismic Events

Massively Parallel Feature Extraction Framework Application ...

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Federated conference on Computer Science and Information Systems (FedCSIS)

作者： Cirzegorowski, Marek Univ Warsaw Fac Math Informat & Mech Banacha 2 PL-02097 Warsaw Poland

ISBN: (纸本)9788360810903

In this paper we introduce an automated mechanism for knowledge discovery from data streams. As a part of this work, we also present a new approach to the creation of classifiers ensemble based on a wide variety of models. Furthermore, we describe an innovative, highly scalable feature extraction and selection framework designed to work with the MapReduce programming model and the application of designed framework to build an ensemble of classifiers which takes into account both the quality and the diversity of individual models. The effectiveness of the solution has been verified through a participation in an open data mining competition which concerned the problem of predicting periods of increased seismic activity causing life threatening accidents in coal mines. The submitted solution obtained the highest AUC score of all the solutions uploaded by 106 participating research teams.

关键词： Data mining

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